ISYE 6501-MIDTERM 1 EXAM |ACTUAL COMPLETE
EXAM QUESTIONS AND CORRECT ANSWERS
(VERIFIED ANSWERS ) ALREADY GRADED
A+.Georgia Institute of Technology-Main Campus
Should you scale your data in a SVM model?
Yes, so the orders of magnitude are approximately the
same. Data must be in bounded range.
Common scaling: data between 0 and 1
a. Scale factor by factor
b. Linearly
How should you find which coefficients to hold value in a SVM model?
If there is a coefficient who's value is very close to 0, means the
corresponding attribute is probably not relevant for classification.
Does SVM work the same for multiple dimensions?
Yes
Does a SVM classifier need to be a straight line?
No, SVM can be generalized using kernel methods that allow for
nonlinear classifiers. Software has a kernel SVM function that you can use
to solve for both linear and nonlinear classifiers.
,Can classification questions be answered as probabilities in SVM?
Yes.
Rows
Data points are values in data tables
Columns
The 'answer' for each data point (response/outcome)
Structured Data
Quantitative, Categorical, Binary, Unrelated, Time Series
Unstructured Data
Text
, Support Vector Model
Supervised machine learning algorithm used for both classification and
regression challenges.
Mostly used in classification problems by plotting each data item as a point
in n- dimensional space (n is the number of features you have) with the
value of each feature being the value of a particular coordinate.
Then you classify by finding a hyperplane that differentiates the 2 classes very
well. Support vectors are simply the coordinates of individual observation -- it
best segregates the two classes (hyperplane / line).
What do you want to find with a SVM model?
Find values of a0, a1,...,up to am that classifies the points correctly and has the
maximum gap or margin between the parallel lines.
What should the sum of the green points in a SVM model be?
The sum of green points should be greater than or equal to 1
What should the sum of the red points in a SVM model be?
The sum of red points should be less than or equal to -1
What should the total sum of green and red points be?
The total sum of all green and red points should be equal to or greater than
1 because yj is 1 for green and -1 for red.
EXAM QUESTIONS AND CORRECT ANSWERS
(VERIFIED ANSWERS ) ALREADY GRADED
A+.Georgia Institute of Technology-Main Campus
Should you scale your data in a SVM model?
Yes, so the orders of magnitude are approximately the
same. Data must be in bounded range.
Common scaling: data between 0 and 1
a. Scale factor by factor
b. Linearly
How should you find which coefficients to hold value in a SVM model?
If there is a coefficient who's value is very close to 0, means the
corresponding attribute is probably not relevant for classification.
Does SVM work the same for multiple dimensions?
Yes
Does a SVM classifier need to be a straight line?
No, SVM can be generalized using kernel methods that allow for
nonlinear classifiers. Software has a kernel SVM function that you can use
to solve for both linear and nonlinear classifiers.
,Can classification questions be answered as probabilities in SVM?
Yes.
Rows
Data points are values in data tables
Columns
The 'answer' for each data point (response/outcome)
Structured Data
Quantitative, Categorical, Binary, Unrelated, Time Series
Unstructured Data
Text
, Support Vector Model
Supervised machine learning algorithm used for both classification and
regression challenges.
Mostly used in classification problems by plotting each data item as a point
in n- dimensional space (n is the number of features you have) with the
value of each feature being the value of a particular coordinate.
Then you classify by finding a hyperplane that differentiates the 2 classes very
well. Support vectors are simply the coordinates of individual observation -- it
best segregates the two classes (hyperplane / line).
What do you want to find with a SVM model?
Find values of a0, a1,...,up to am that classifies the points correctly and has the
maximum gap or margin between the parallel lines.
What should the sum of the green points in a SVM model be?
The sum of green points should be greater than or equal to 1
What should the sum of the red points in a SVM model be?
The sum of red points should be less than or equal to -1
What should the total sum of green and red points be?
The total sum of all green and red points should be equal to or greater than
1 because yj is 1 for green and -1 for red.
